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Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Maria Argos and Brandon L. Pierce.
Connection Strength

3.709
  1. Screening for gene-environment (G×E) interaction using omics data from exposed individuals: an application to gene-arsenic interaction. Mamm Genome. 2018 02; 29(1-2):101-111.
    View in: PubMed
    Score: 0.641
  2. Assessing the impact of arsenic metabolism efficiency on DNA methylation using Mendelian randomization. Environ Epidemiol. 2020 Apr; 4(2):e083.
    View in: PubMed
    Score: 0.186
  3. The effect of age on DNA methylation in whole blood among Bangladeshi men and women. BMC Genomics. 2019 Sep 10; 20(1):704.
    View in: PubMed
    Score: 0.178
  4. Correction: A missense variant in FTCD is associated with arsenic metabolism and toxicity phenotypes in Bangladesh. PLoS Genet. 2019 May; 15(5):e1008172.
    View in: PubMed
    Score: 0.175
  5. A missense variant in FTCD is associated with arsenic metabolism and toxicity phenotypes in Bangladesh. PLoS Genet. 2019 03; 15(3):e1007984.
    View in: PubMed
    Score: 0.173
  6. The contribution of parent-to-offspring transmission of telomeres to the heritability of telomere length in humans. Hum Genet. 2019 Jan; 138(1):49-60.
    View in: PubMed
    Score: 0.169
  7. Co-occurring expression and methylation QTLs allow detection of common causal variants and shared biological mechanisms. Nat Commun. 2018 02 23; 9(1):804.
    View in: PubMed
    Score: 0.160
  8. Genome-wide association study of telomere length among South Asians identifies a second RTEL1 association signal. J Med Genet. 2018 01; 55(1):64-71.
    View in: PubMed
    Score: 0.157
  9. The association between telomere length and mortality in Bangladesh. Aging (Albany NY). 2017 06 15; 9(6):1537-1551.
    View in: PubMed
    Score: 0.153
  10. The Genetic Architecture of Arsenic Metabolism Efficiency:A SNP-Based Heritability Study of Bangladeshi Adults. Environ Health Perspect. 2015 10; 123(10):985-92.
    View in: PubMed
    Score: 0.131
  11. Mediation analysis demonstrates that trans-eQTLs are often explained by cis-mediation: a genome-wide analysis among 1,800 South Asians. PLoS Genet. 2014 Dec; 10(12):e1004818.
    View in: PubMed
    Score: 0.128
  12. Arsenic exposure, telomere length, and expression of telomere-related genes among Bangladeshi individuals. Environ Res. 2015 Jan; 136:462-9.
    View in: PubMed
    Score: 0.128
  13. Gene-specific differential DNA methylation and chronic arsenic exposure in an epigenome-wide association study of adults in Bangladesh. Environ Health Perspect. 2015 Jan; 123(1):64-71.
    View in: PubMed
    Score: 0.127
  14. Arsenic and lung disease mortality in Bangladeshi adults. Epidemiology. 2014 Jul; 25(4):536-43.
    View in: PubMed
    Score: 0.125
  15. Genome-wide association study of smoking behaviours among Bangladeshi adults. J Med Genet. 2014 May; 51(5):327-33.
    View in: PubMed
    Score: 0.122
  16. Arsenic metabolism efficiency has a causal role in arsenic toxicity: Mendelian randomization and gene-environment interaction. Int J Epidemiol. 2013 Dec; 42(6):1862-71.
    View in: PubMed
    Score: 0.120
  17. Genome-wide association study identifies chromosome 10q24.32 variants associated with arsenic metabolism and toxicity phenotypes in Bangladesh. PLoS Genet. 2012; 8(2):e1002522.
    View in: PubMed
    Score: 0.106
  18. A prospective study of arsenic exposure from drinking water and incidence of skin lesions in Bangladesh. Am J Epidemiol. 2011 Jul 15; 174(2):185-94.
    View in: PubMed
    Score: 0.100
  19. Arsenic exposure, dietary patterns, and skin lesion risk in bangladesh: a prospective study. Am J Epidemiol. 2011 Feb 01; 173(3):345-54.
    View in: PubMed
    Score: 0.098
  20. Arsenic exposure from drinking water, and all-cause and chronic-disease mortalities in Bangladesh (HEALS): a prospective cohort study. Lancet. 2010 Jul 24; 376(9737):252-8.
    View in: PubMed
    Score: 0.094
  21. Dietary B vitamin intakes and urinary total arsenic concentration in the Health Effects of Arsenic Longitudinal Study (HEALS) cohort, Bangladesh. Eur J Nutr. 2010 Dec; 49(8):473-81.
    View in: PubMed
    Score: 0.093
  22. A prospective study of body mass index and mortality in Bangladesh. Int J Epidemiol. 2010 Aug; 39(4):1037-45.
    View in: PubMed
    Score: 0.091
  23. Association of Arsenic Exposure with Whole Blood DNA Methylation: An Epigenome-Wide Study of Bangladeshi Adults. Environ Health Perspect. 2019 05; 127(5):57011.
    View in: PubMed
    Score: 0.044
  24. Determinants and Consequences of Arsenic Metabolism Efficiency among 4,794 Individuals: Demographics, Lifestyle, Genetics, and Toxicity. Cancer Epidemiol Biomarkers Prev. 2016 Feb; 25(2):381-90.
    View in: PubMed
    Score: 0.034
  25. Genome-wide association study of parity in Bangladeshi women. PLoS One. 2015; 10(3):e0118488.
    View in: PubMed
    Score: 0.033
  26. Genome-wide association studies and heritability estimates of body mass index related phenotypes in Bangladeshi adults. PLoS One. 2014; 9(8):e105062.
    View in: PubMed
    Score: 0.031
  27. A genome-wide association study of early-onset breast cancer identifies PFKM as a novel breast cancer gene and supports a common genetic spectrum for breast cancer at any age. Cancer Epidemiol Biomarkers Prev. 2014 Apr; 23(4):658-69.
    View in: PubMed
    Score: 0.030
  28. Urinary and dietary analysis of 18,470 bangladeshis reveal a correlation of rice consumption with arsenic exposure and toxicity. PLoS One. 2013; 8(11):e80691.
    View in: PubMed
    Score: 0.030
  29. Intakes of several nutrients are associated with incidence of arsenic-related keratotic skin lesions in Bangladesh. J Nutr. 2012 Dec; 142(12):2128-34.
    View in: PubMed
    Score: 0.028
  30. A prospective study of the synergistic effects of arsenic exposure and smoking, sun exposure, fertilizer use, and pesticide use on risk of premalignant skin lesions in Bangladeshi men. Am J Epidemiol. 2011 Jan 15; 173(2):183-91.
    View in: PubMed
    Score: 0.024
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.